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get_longest_running_queries

Identify and retrieve the longest-running queries from Couchbase's completed_requests catalog to analyze performance bottlenecks and optimize database efficiency.

Instructions

Get the N longest running queries from the system:completed_requests catalog.

Args:
    limit: Number of queries to return (default: 10)

Returns:
    List of queries with their average service time and count

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo

Implementation Reference

  • The primary handler function implementing the 'get_longest_running_queries' tool. It runs a SQL++ query on system:completed_requests to fetch the longest running queries grouped by statement, ordered by average service time.
    def get_longest_running_queries(ctx: Context, limit: int = 10) -> list[dict[str, Any]]:
        """Get the N longest running queries from the system:completed_requests catalog.
    
        Args:
            limit: Number of queries to return (default: 10)
    
        Returns:
            List of queries with their average service time and count
        """
        query = """
        SELECT statement,
            DURATION_TO_STR(avgServiceTime) AS avgServiceTime,
            COUNT(1) AS queries
        FROM system:completed_requests
        WHERE UPPER(statement) NOT LIKE 'INFER %'
            AND UPPER(statement) NOT LIKE 'CREATE INDEX%'
            AND UPPER(statement) NOT LIKE 'CREATE PRIMARY INDEX%'
            AND UPPER(statement) NOT LIKE '% SYSTEM:%'
        GROUP BY statement
        LETTING avgServiceTime = AVG(STR_TO_DURATION(serviceTime))
        ORDER BY avgServiceTime DESC
        LIMIT $limit
        """
    
        return _run_query_tool_with_empty_message(
            ctx,
            query,
            limit=limit,
            empty_message=(
                "No completed queries were available to calculate longest running queries."
            ),
        )
  • Helper function called by get_longest_running_queries to execute the cluster query and handle empty results with a standard message.
    def _run_query_tool_with_empty_message(
        ctx: Context,
        query: str,
        *,
        limit: int,
        empty_message: str,
        extra_payload: dict[str, Any] | None = None,
        **query_kwargs: Any,
    ) -> list[dict[str, Any]]:
        """Execute a cluster query with a consistent empty-result response."""
        results = run_cluster_query(ctx, query, limit=limit, **query_kwargs)
    
        if results:
            return results
    
        payload: dict[str, Any] = {"message": empty_message, "results": []}
        if extra_payload:
            payload.update(extra_payload)
        return [payload]
  • Registration loop in the MCP server where all tools, including get_longest_running_queries (imported via ALL_TOOLS), are added to the FastMCP server instance.
    # Register all tools
    for tool in ALL_TOOLS:
        mcp.add_tool(tool)
  • Definition of ALL_TOOLS list in tools/__init__.py which includes get_longest_running_queries and is used for bulk registration in mcp_server.py.
    ALL_TOOLS = [
        get_buckets_in_cluster,
        get_server_configuration_status,
        test_cluster_connection,
        get_scopes_and_collections_in_bucket,
        get_collections_in_scope,
        get_scopes_in_bucket,
        get_document_by_id,
        upsert_document_by_id,
        delete_document_by_id,
        get_schema_for_collection,
        run_sql_plus_plus_query,
        get_index_advisor_recommendations,
        list_indexes,
        get_cluster_health_and_services,
        get_queries_not_selective,
        get_queries_not_using_covering_index,
        get_queries_using_primary_index,
        get_queries_with_large_result_count,
        get_queries_with_largest_response_sizes,
        get_longest_running_queries,
        get_most_frequent_queries,
    ]

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